The potential amplification of the Matthew Effect in environmental science through ChatGPT's citation approach.

1 min read
Source: Phys.org
The potential amplification of the Matthew Effect in environmental science through ChatGPT's citation approach.
Photo: Phys.org
TL;DR Summary

A study has found that ChatGPT, an AI language model, tends to cite highly-cited publications in environmental science, relying solely on Google Scholar's citation counts. This perpetuates the Matthew Effect in science, where the rich get richer in terms of citations, and may lead to further disparities between lesser-cited and highly-cited publications. The study highlights the dominance of Google Scholar among scientific databases and reinforces the need for a more diverse approach to literature review.

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